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From "Laljo John Pullokkaran (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (HIVE-5119) MapJoin & Partition Pruning (MapJoin can take advantage of materialized data to prune partitions of big table)
Date Wed, 25 Nov 2015 22:17:10 GMT

     [ https://issues.apache.org/jira/browse/HIVE-5119?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Laljo John Pullokkaran resolved HIVE-5119.
------------------------------------------
    Resolution: Fixed

> MapJoin & Partition Pruning (MapJoin can take advantage of materialized data to prune
partitions of big table)
> --------------------------------------------------------------------------------------------------------------
>
>                 Key: HIVE-5119
>                 URL: https://issues.apache.org/jira/browse/HIVE-5119
>             Project: Hive
>          Issue Type: Improvement
>          Components: Query Processor
>    Affects Versions: 0.11.0
>            Reporter: Laljo John Pullokkaran
>            Assignee: Laljo John Pullokkaran
>
> Map-Join predicates where the joining columns from big table (streamed table) are partition
columns and corresponding columns from small table is not partitioned, the join would not
prune the unnecessary partitions from big table. Since data for all small tables is materialized
before big table is streamed, theoretically it would be possible to prune the unnecessary
partitions from big table.
> Proposal document is at https://cwiki.apache.org/confluence/x/sgkHAg



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